2 Jun 2025
I owe a debt of gratitude to many people as the thoughts and code in these slides are the process of years-long development cycles and discussions with my team, friends, colleagues and peers. When someone has contributed to the content of the slides, I have credited their authorship.
Images are either directly linked, or generated with StableDiffusion or DALL-E. That said, there is no information in this presentation that exceeds legal use of copyright materials in academic settings, or that should not be part of the public domain.
Warning
You may use any and all content in this presentation - including my name - and submit it as input to generative AI tools, with the following exception:
Materials
Yesterday we learned
R and RStudioR with [ ] and $stata_data <- read_dta("files/03-poverty-analysis-data-2022-rt001-housing-plus.dta")
head(stata_data)# A tibble: 6 × 114
hhid domain2 psu domain gp_subdom district fortnight panel hhid16
<dbl> <dbl+lbl> <dbl> <dbl+l> <dbl+lbl> <chr> <dbl> <dbl+l> <dbl>
1 1102500401 1.1 10250 1 [Gre… 1 [Param… Paramar… 1 1 [Pan… 6.02e6
2 1102500501 1.1 10250 1 [Gre… 1 [Param… Paramar… 1 1 [Pan… 6.02e6
3 1102500502 1.1 10250 1 [Gre… 1 [Param… Paramar… 1 1 [Pan… 6.02e6
4 1102501202 1.1 10250 1 [Gre… 1 [Param… Paramar… 1 1 [Pan… 6.02e6
5 1107430501 1.1 10743 1 [Gre… 1 [Param… Paramar… 1 1 [Pan… 6.04e6
6 1107430801 1.1 10743 1 [Gre… 1 [Param… Paramar… 1 1 [Pan… 6.04e6
# ℹ 105 more variables: lat_cen <dbl>, long_cen <dbl>, result <dbl+lbl>,
# end_date_n <date>, Year_s <dbl>, Month_s <dbl>, Day <dbl>, stratum <dbl>,
# hhid_text <chr>, HHsize <dbl>, HHsize2 <dbl>, interv <dbl>, end_date <chr>,
# q17_02 <dbl+lbl>, q17_03a <dbl+lbl>, q17_03b <dbl+lbl>, q17_04 <dbl+lbl>,
# q12a <dbl+lbl>, q12_01a <dbl>, q12_01b <dbl>, q12_02a <dbl>, q12_02b <dbl>,
# q12_03a <dbl>, q12_03b <dbl>, q12_04a <dbl>, q12_04b <dbl>,
# q12_05 <dbl+lbl>, q13_01 <dbl+lbl>, q13_01_ot <chr>, q13_02 <dbl+lbl>, …
spss_data <- read_sav("files/SUR_2023_LAPOP_AmericasBarometer_v1.0_w_orginal.sav",
user_na = TRUE)
spss_data2 <- read_sav("files/SUR_2023_LAPOP_AmericasBarometer_v1.0_w_orginal.sav")
head(spss_data)# A tibble: 6 × 162
idnum pais nationality estratopri estratosec strata
<dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+>
1 5581 27 [Suriname] 27 [Surinamese] 2702 [Wanica / Par… 2 [Medium … 2702
2 5642 27 [Suriname] 27 [Surinamese] 2701 [Paramaribo] 1 [Large (… 2701
3 4622 27 [Suriname] 27 [Surinamese] 2701 [Paramaribo] 1 [Large (… 2701
4 4034 27 [Suriname] 27 [Surinamese] 2702 [Wanica / Par… 2 [Medium … 2702
5 9206 27 [Suriname] 27 [Surinamese] 2701 [Paramaribo] 1 [Large (… 2701
6 2101 27 [Suriname] 27 [Surinamese] 2702 [Wanica / Par… 2 [Medium … 2702
# ℹ 156 more variables: prov <dbl+lbl>, municipio <dbl+lbl>, upm <dbl+lbl>,
# ur <dbl+lbl>, cluster <dbl+lbl>, year <dbl+lbl>, wave <dbl+lbl>,
# wt <dbl+lbl>, q1tc_r <dbl+lbl>, q2 <dbl+lbl>, a4n <dbl+lbl>,
# soct2 <dbl+lbl>, idio2 <dbl+lbl>, mesfut1 <dbl+lbl>, cp8 <dbl+lbl>,
# it1 <dbl+lbl>, jc10 <dbl+lbl>, jc13 <dbl+lbl>, jc15a <dbl+lbl>,
# jc16a <dbl+lbl>, vic1ext <dbl+lbl>, aoj11 <dbl+lbl>, aoj12 <dbl+lbl>,
# pese1 <dbl+lbl>, pese2 <dbl+lbl>, aoj17 <dbl+lbl>, ivol24 <dbl+lbl>, …
<labelled_spss<double>[20]>: Gender
[1] 888888 2 1 2 1 2 2 1 1 2
[11] 1 2 1 2 1 2 1 1 1 2
Missing values: 888888, 988888, 999999
Labels:
value label
1 Man/male
2 Woman/female
3 Does not identify as either man or woman
888888 DK
988888 NR
999999 N/A
<labelled<double>[20]>: Gender
[1] NA 2 1 2 1 2 2 1 1 2 1 2 1 2 1 2 1 1 1 2
Labels:
value label
1 Man/male
2 Woman/female
3 Does not identify as either man or woman
888888 DK
988888 NR
999999 N/A
In base R, there is only one type of missing value: NA. In SPSS and Stata, there are multiple types of missing values. In R, we can use the haven package to convert these to NA.
Alternatively, if you’d still like to use special NAs, you can use haven::tag_na()
Rows: 1,539
Columns: 162
$ idnum <dbl+lbl> 5581, 5642, 4622, 4034, 9206, 2101, 3574, 709, 8666, …
$ pais <dbl+lbl> 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27…
$ nationality <dbl+lbl> 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27…
$ estratopri <dbl+lbl> 2702, 2701, 2701, 2702, 2701, 2702, 2701, 2701, 2701, …
$ estratosec <dbl+lbl> 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, …
$ strata <dbl+lbl> 2702, 2701, 2701, 2702, 2701, 2702, 2701, 2701, 2701, …
$ prov <dbl+lbl> 2702, 2701, 2701, 2702, 2701, 2702, 2701, 2701, 2701, …
$ municipio <dbl+lbl> 270214, 270109, 270109, 270214, 270109, 270214, 270109…
$ upm <dbl+lbl> 43, 21, 21, 43, 21, 43, 21, 21, 21, 21, 21, 21, 43, 21…
$ ur <dbl+lbl> 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, …
$ cluster <dbl+lbl> 87, 67, 5, 234, 67, 234, 233, 233, 5, 92, 67,…
$ year <dbl+lbl> 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, …
$ wave <dbl+lbl> 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, …
$ wt <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ q1tc_r <dbl+lbl> NA, 2, 1, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 2…
$ q2 <dbl+lbl> 59, 61, 30, 36, 34, 53, 75, 27, 27, 50, 60, 34, 50, 30…
$ a4n <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 77, 1, 1, 1, 1, 77…
$ soct2 <dbl+lbl> 3, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, …
$ idio2 <dbl+lbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2…
$ mesfut1 <dbl+lbl> 4, 2, 3, 3, 2, 4, 3, NA, 4, 4, 3, 3, 4, 2…
$ cp8 <dbl+lbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, …
$ it1 <dbl+lbl> 2, 1, 3, 1, 2, 3, 2, 2, 3, NA, 1, 1, 2, 2…
$ jc10 <dbl+lbl> 1, 2, 1, NA, 1, 2, NA, NA, NA, NA, 2, 2, NA, NA…
$ jc13 <dbl+lbl> NA, NA, NA, 1, NA, NA, 2, 2, 2, 2, NA, NA, 2, 2…
$ jc15a <dbl+lbl> 2, NA, NA, 2, NA, NA, 2, NA, 2, 1, NA, 2, NA, 2…
$ jc16a <dbl+lbl> NA, 2, 2, NA, 1, 2, NA, 2, NA, NA, 2, NA, 1, NA…
$ vic1ext <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ aoj11 <dbl+lbl> 2, 2, 4, 3, 2, 4, 1, 3, 2, 2, 2, 2, 2, 2, 3, 4, 4, 1, …
$ aoj12 <dbl+lbl> NA, 1, 1, 1, 2, 4, 3, 4, 2, 2, 2, 4, 2, NA…
$ pese1 <dbl+lbl> 3, 3, 1, 3, 3, 1, 3, 1, 2, 3, 3, 3, 2, 3…
$ pese2 <dbl+lbl> 2, 1, 1, 3, 3, 1, 2, 1, 2, 3, 2, 3, 2, NA…
$ aoj17 <dbl+lbl> 4, 4, 1, 4, 2, 4, 4, 3, 3, 4, 4, 4, 2, NA…
$ ivol24 <dbl+lbl> 0, NA, 0, 0, 0, 0, 0, 1, NA, NA, 0, 1, 0, 0…
$ gang21 <dbl+lbl> NA, NA, 2, NA, 1, NA, NA, NA, 2, NA, NA, NA, 2, NA…
$ gang22 <dbl+lbl> NA, NA, 5, NA, 1, NA, NA, 2, 2, NA, NA, NA, 2, NA…
$ gang23 <dbl+lbl> NA, NA, 2, NA, 1, NA, NA, 2, NA, NA, NA, NA, 2, NA…
$ gang24 <dbl+lbl> NA, NA, 1, NA, 2, NA, NA, NA, 1, NA, NA, NA, 2, NA…
$ aoj30 <dbl+lbl> 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, …
$ diso8 <dbl+lbl> 5, NA, 1, 5, 5, 5, 5, 3, 1, NA, 5, 3, 2, 5…
$ drugt1 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 2, NA, 1, 1, 1, 1, 1…
$ countfair1 <dbl+lbl> NA, 1, 1, 3, 2, 1, 2, 3, 2, 2, 1, 2, 2, 1…
$ countfair3 <dbl+lbl> 3, 3, 1, 2, 2, 1, 2, 1, 2, 2, 3, 2, 2, 3…
$ chm1bn <dbl+lbl> NA, NA, 2, NA, NA, NA, 2, NA, 1, 1, NA, NA, NA, NA…
$ chm2bn <dbl+lbl> NA, NA, NA, 1, 2, NA, NA, NA, NA, NA, 2, 2, 1, 2…
$ b0 <dbl+lbl> 1, 4, 7, 1, 4, 4, 6, 7, 3, 7, 6, 4, 5, 3, 6, 1, 7, 2, …
$ b1 <dbl+lbl> 7, 5, 4, 4, 5, 7, 4, 3, 4, 5, 4, 4, 5, 6, 5, 4, 3, 6, …
$ b2 <dbl+lbl> 6, 4, 2, 4, 4, 2, 4, 5, 4, 6, 3, 3, 4, 1, 6, 5, 1, 4, …
$ b3 <dbl+lbl> 2, 3, 1, 4, 5, 2, 2, 2, 5, 3, 4, 2, 3, 1, 5, 3, 1, 4, …
$ b4 <dbl+lbl> 5, 5, 1, 4, 5, 7, 3, 1, 5, 2, 1, 5, 4, 3, 2, 1, 2, 4, …
$ b6 <dbl+lbl> 4, 3, 7, 4, 7, 7, 7, 2, 5, 4, 1, 7, 3, NA…
$ b12 <dbl+lbl> 3, 6, 1, 5, 4, 1, 5, 1, 5, 1, 6, 4, 2, NA…
$ b13 <dbl+lbl> 2, 6, 1, 1, 5, 1, 4, 3, 3, 3, 4, 3, 5, 1, 6, 2, 1, 4, …
$ b18 <dbl+lbl> 1, 5, 1, 5, 2, 1, 3, 2, 3, 1, 3, 3, 6, 6, 5, 5, 1, 6, …
$ b21 <dbl+lbl> 7, 3, 1, 1, 4, 1, 4, 1, 4, 2, 2, 1, 4, 1, 5, 5, 1, 3, …
$ b21a <dbl+lbl> 1, 5, 1, 1, 4, 1, 1, 3, 1, 1, 1, 1, 2, 1, 5, 1, 1, 3, …
$ b21f <dbl+lbl> 2, 5, 1, 1, 4, 1, 5, 2, 2, 2, 1, 1, 2, 3, 5, 2, 1, 2, …
$ b31 <dbl+lbl> 3, 6, 1, 5, 3, 1, 4, 2, 2, 1, 5, 3, 3, 6, 5, 5, 3, 6, …
$ b37 <dbl+lbl> 5, 6, 1, 5, 5, 1, 5, 3, 3, 5, 4, 4, 4, 4, 6, 5, 4, 5, …
$ b47a <dbl+lbl> 1, 5, 1, 5, 3, 1, 5, 3, 5, 4, 6, 4, 6, 7, 6, 4, 4, 6, …
$ m1 <dbl+lbl> 4, 3, 5, 5, 3, 5, 4, 4, 4, 2, 5, 5, 4, NA…
$ pop101 <dbl+lbl> 2, 4, 1, 4, 5, 1, 2, 1, 7, 6, 1, 4, 3, NA…
$ pop107 <dbl+lbl> 1, 3, 7, 7, 6, 1, 2, 1, 6, 7, 1, 2, 1, 1, 4, 5, 4, 4, …
$ ros4 <dbl+lbl> 7, 7, 5, 7, 6, 1, 7, 1, 5, 5, 7, 6, 7, 7, 6, 4, 7, 6, …
$ ing4 <dbl+lbl> 1, 7, 2, 4, 4, 1, 6, 1, 5, 3, 5, 4, 3, 5, 5, 4, 4, 6, …
$ eff1 <dbl+lbl> 3, 5, 1, 1, 3, 1, 3, 1, 2, 6, 1, 1, 1, 1, 3, 1, 1, 6, …
$ eff2 <dbl+lbl> 2, 5, 6, 4, 5, 1, 4, 1, 5, 5, 3, 4, 7, 5, 3, 1, 3, 5, …
$ dra1 <dbl+lbl> 5, 6, 7, 4, 5, 1, 1, 7, 7, 4, 2, 5, 7, 6, 5, 7, 4, 7, …
$ dra2 <dbl+lbl> 7, 6, 7, 4, 5, 1, 1, 7, 4, 6, 3, 3, 7, 7, 5, 7, 6, 6, …
$ vb21n <dbl+lbl> 6, 6, 1, 6, 1, 6, 5, 3, 6, 6, 1, 5, 1, 1…
$ crg1 <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, …
$ crg2 <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, …
$ env2b <dbl+lbl> 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 1, 1, …
$ anestg <dbl+lbl> 2, 1, 4, 4, 2, 4, 3, 4, 2, 2, 4, 4, 4, 3, 2, 1, 4, 2, …
$ pn4 <dbl+lbl> 3, 2, 3, 3, 3, 3, 1, 2, 2, 3, 3, 3, 2, 3…
$ dem30 <dbl+lbl> 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1…
$ e5 <dbl+lbl> 1, 8, 10, 1, 6, 1, 8, 10, 1, 9, 10, 7, 10, 10…
$ e20sur <dbl+lbl> 2, 1, 8, 10, 7, 1, 1, 10, 5, 7, 1, 4, 1, 1…
$ e17a <dbl+lbl> 3, NA, 10, 10, 9, NA, 9, 10, 5, NA, NA, NA, NA, 10…
$ e17b <dbl+lbl> NA, 8, NA, NA, NA, 1, NA, NA, NA, 6, 10, 1, 7, NA…
$ d3 <dbl+lbl> 5, 4, 6, 1, 6, 1, 3, 10, 1, 5, 10, 3, 1, 1…
$ d4 <dbl+lbl> 7, 7, 1, 4, 5, 1, 2, 10, 5, 9, 10, 4, 5, 1…
$ d6 <dbl+lbl> 1, 5, 1, 1, 6, 1, 1, 10, 10, 7, 10, 1, 9, 1…
$ d5newa <dbl+lbl> NA, 6, 1, NA, NA, 1, NA, 10, 10, 3, 10, 1, NA, 1…
$ d5newb <dbl+lbl> 7, NA, NA, 5, 5, NA, 1, NA, NA, NA, NA, NA, 8, NA…
$ exc2 <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ exc6 <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ exc7new <dbl+lbl> NA, 2, 5, 2, 4, 1, 4, 5, 2, NA, 2, 4, 5, 2…
$ aoj2cora <dbl+lbl> 2, 1, 2, 2, 2, 2, 1, 2, 2, 1, 2, 1, 2, NA…
$ aoj2corb <dbl+lbl> NA, 3, NA, NA, NA, NA, 1, NA, NA, 2, NA, 1, NA, NA…
$ lib2c <dbl+lbl> 2, 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 1, …
$ vb2 <dbl+lbl> 1, 2, 2, 1, 1, 1, 2, 1, 2, 1, 2, 1, 1, 1, 2, 1, 1, 2, …
$ vb3n <dbl+lbl> 2702, NA, NA, 2701, 2702, 2701, NA, 2703, NA, …
$ vb10 <dbl+lbl> 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, …
$ vb11 <dbl+lbl> NA, NA, NA, NA, 2702, NA, NA, NA, NA, …
$ pol1 <dbl+lbl> 4, 2, 4, 1, 3, 4, 2, 4, 2, 2, 4, 4, 2, 1, 2, 4, 3, 2, …
$ vb20 <dbl+lbl> 3, 1, 1, 3, 1, 1, 1, NA, 1, 4, 3, 4, 1, NA…
$ vb50 <dbl+lbl> 4, 3, 4, 3, 3, 3, 2, 3, 3, 3, 1, 3, 3, 4…
$ vb51 <dbl+lbl> 3, NA, NA, 3, 3, 3, 3, NA, 3, 3, 3, NA, 3, NA…
$ vb52 <dbl+lbl> NA, 2, 3, NA, NA, NA, NA, 3, NA, NA, NA, 2, NA, 3…
$ vb58 <dbl+lbl> NA, NA, NA, 3, 3, 3, 2, NA, 3, NA, 1, NA, 2, 3…
$ vb58exp <dbl+lbl> 3, 3, 3, NA, NA, NA, NA, 1, NA, 3, NA, 3, NA, NA…
$ dvw1 <dbl+lbl> 2, 3, 2, 2, 2, 2, 3, 2, 2, 3, 3, 3, 2, 2, 3, 2, 2, 2, …
$ dvw2 <dbl+lbl> 3, 3, 2, 2, 2, 2, 3, 3, 2, 1, 3, 2, 2, 2, 2, 3, 3, 2, …
$ for5n <dbl+lbl> 3, 4, 4, 4, 4, 4, 13, 13, 4, 13, 5, 1, 4, 4…
$ mil10a <dbl+lbl> 2, 3, 2, 2, 2, 2, NA, 4, NA, 4, NA, 1, 4, NA…
$ mil10b <dbl+lbl> 4, 3, NA, NA, 3, 3, NA, 4, 2, 4, 3, 2, 4, NA…
$ mil10e <dbl+lbl> 2, 2, 2, 2, 2, 1, NA, NA, 2, 4, 2, 4, 1, NA…
$ dis11 <dbl+lbl> 4, 4, 1, 4, 4, 4, 4, 2, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, …
$ dis12 <dbl+lbl> 4, 4, 1, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, …
$ mgm1 <dbl+lbl> 1, 1, 1, 1, 2, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ mgm2 <dbl+lbl> 5, 5, 2, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, …
$ mgm3 <dbl+lbl> NA, 3, 1, 3, 1, NA, 1, NA, 1, 1, 1, 1, 1, 1…
$ wf1 <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ edre <dbl+lbl> 1, 4, 3, 3, 3, 3, 4, 5, 3, 3, 6, 4, 4, 3, 3, 3, 3, 6, …
$ q3cn <dbl+lbl> 2702, NA, 4, 2701, 1, 2702, 5, 1, 1, …
$ q5b <dbl+lbl> 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, …
$ ocup4a <dbl+lbl> 7, 5, 1, 3, 1, 1, 6, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1, 6, …
$ formal <dbl+lbl> NA, NA, 2, NA, 1, 1, NA, 1, 1, 1, 2, 1, 1, 1…
$ q10inc <dbl+lbl> 2703, 2706, 2705, 2706, 2710, 2704, 2711, 2711, 2706, …
$ q10e <dbl+lbl> 3, 2, 2, 2, 2, 2, 3, 1, 1, 1, 3, 1, 3, 2…
$ q14 <dbl+lbl> 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 2, 2, …
$ fs2 <dbl+lbl> 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, …
$ fs212 <dbl+lbl> 0, 0, 0, NA, 1, 0, 0, NA, NA, NA, 0, 0, NA, 0…
$ fs8 <dbl+lbl> 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, …
$ ws1 <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ws2 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, 4, NA, NA, NA, NA…
$ q11n <dbl+lbl> 2, 2, 1, 3, 1, 2, 2, 3, 3, 3, 2, 1, 2, 2, 1, 1, 2, 1, …
$ q12cn <dbl+lbl> 3, 2, 9, 6, 5, 6, 2, 2, 4, 2, 4, 6, 4, 4, 8, 6, 4, 1, …
$ q12bn <dbl+lbl> 0, 0, 2, 2, 1, 0, 0, 0, 0, 0, 0, 2, 2, 1, 1, 0, 1, 0, …
$ q12bnf <dbl+lbl> NA, NA, 3, 1, 1, NA, NA, NA, NA, NA, NA, 1, 1, 1…
$ q12p <dbl+lbl> NA, 22, NA, 20, NA, 23, 29, NA, NA, 17, NA, 19, NA, 26…
$ etid <dbl+lbl> 2709, 5, 3, 2709, 3, 2709, 3, 5, 3, …
$ leng1 <dbl+lbl> 2703, 2701, 2701, 2703, 2701, 2703, 2701, 2701, 2701, …
$ gi0n <dbl+lbl> 3, 1, 1, 1, 2, 3, 1, 2, 2, 1, 1, 2, 1, 2, 3, 2, 1, 1, …
$ smedia1n <dbl+lbl> 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, …
$ smedia3n <dbl+lbl> NA, 2, 1, NA, 1, NA, 1, 1, 1, 1, 5, 2, 1, 1…
$ smedia3b <dbl+lbl> NA, NA, 2, NA, 2, NA, 1, 2, 1, 2, NA, NA, 3, 1…
$ smedia11 <dbl+lbl> 2, 2, 2, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 1, 1, 2, …
$ smedia12 <dbl+lbl> 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 2, 1, …
$ smedia13 <dbl+lbl> 4, 1, 2, 4, 2, 4, 4, 1, 2, 2, 1, 2, 1, 1, 1, 1, 1, 1, …
$ smedia14n <dbl+lbl> 4, 2, 1, 2, 2, 4, 4, 1, 1, 2, 2, 2, 1, 2, 1, 1, 1, 1, …
$ smedia15 <dbl+lbl> 4, 3, 1, 4, 3, 4, 4, 1, 4, 2, 4, 4, 4, 4, 2, 1, 2, 1, …
$ smedia16 <dbl+lbl> 1, 3, 4, 1, 3, 1, 1, 3, 7, 2, 1, 1, 1, 4, 3, 3, 1, 1, …
$ r3 <dbl+lbl> 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, …
$ r4a <dbl+lbl> 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ r6 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ r7 <dbl+lbl> 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, …
$ r12 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ r15 <dbl+lbl> 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, …
$ r18n <dbl+lbl> 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, …
$ r18 <dbl+lbl> 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, …
$ r16 <dbl+lbl> 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ r27 <dbl+lbl> 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, …
$ colorr <dbl+lbl> 5, 3, 8, 4, 9, 5, 9, 3, 9, 7, 3, 6, 3, 5, 4, 4, 5, 3, …
$ surlangq <dbl+lbl> 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ noise1 <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ conocim <dbl+lbl> 5, 2, 3, 4, 3, 4, 4, 1, 3, 2, 1, 2, 3, 3, 1, 3, 2, 1, …
$ sexin <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ colori <dbl+lbl> 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, …
$ formatq <dbl+lbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, …
$ idiomaq <dbl+lbl> 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, 2700, …
$ fecha <chr> "20apr2023", "28mar2023", "01apr2023", "12apr2023", "30mar…
Rows: 2,502
Columns: 114
$ hhid <dbl> 1102500401, 1102500501, 1102500502, 1102501202, 11074305…
$ domain2 <dbl+lbl> 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 2.0, 2.…
$ psu <dbl> 10250, 10250, 10250, 10250, 10743, 10743, 10743, 10743, …
$ domain <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ gp_subdom <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ district <chr> "Paramaribo", "Paramaribo", "Paramaribo", "Paramaribo", …
$ fortnight <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ panel <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ hhid16 <dbl> 6015041, 6015051, 6015052, 6015122, 6039051, 6039081, 60…
$ lat_cen <dbl> 5.847621, 5.847621, 5.847621, 5.847621, 5.819147, 5.8191…
$ long_cen <dbl> -55.17032, -55.17032, -55.17032, -55.17032, -55.21745, -…
$ result <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ end_date_n <date> 2022-01-04, 2022-01-05, 2022-01-10, 2022-01-04, 2022-01…
$ Year_s <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 20…
$ Month_s <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ Day <dbl> 4, 5, 10, 4, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 7, 15, 9, 14,…
$ stratum <dbl> 2, 2, 2, 2, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6,…
$ hhid_text <chr> "01102500401", "01102500501", "01102500502", "0110250120…
$ HHsize <dbl> 1, 3, 1, 4, 1, 2, 5, 1, 3, 1, 7, 4, 1, 1, 4, 2, 2, 2, 2,…
$ HHsize2 <dbl> 1, 2, 1, 4, 1, 2, 5, 1, 3, 1, 7, 4, 1, 1, 4, 2, 2, 2, 2,…
$ interv <dbl> 75, 75, 75, 75, 92, 92, 92, 92, 92, 83, 77, 74, 99, 74, …
$ end_date <chr> "04/01/22", "05/01/22", "10/01/22", "04/01/22", "05/01/2…
$ q17_02 <dbl+lbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2…
$ q17_03a <dbl+lbl> 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ q17_03b <dbl+lbl> 2, 2, 2, NA, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ q17_04 <dbl+lbl> NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12a <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q12_01a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_01b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_02a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_02b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_03a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_03b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_04a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_04b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_05 <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q13_01 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ q13_01_ot <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", …
$ q13_02 <dbl+lbl> 2, 1, 1, 5, 2, 2, 3, 2, 2, 5, 8, 1, 3, 2, 2, 3, 8, 2…
$ q13_03 <dbl+lbl> 5, 5, 1, NA, 2, 2, 5, 5, 2, NA, NA, 5, 3, …
$ q13_04 <dbl> 1985, 2006, 2003, -1, 1982, 1980, 1982, 1992, 1980, 2005…
$ q13_05 <dbl+lbl> 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2…
$ q13_06 <chr> "DAKPLATEN VERWISSELEN EN KEUKEN BIJGEBOU", "", "", "", …
$ q13_07 <dbl> 2020, NA, NA, NA, 2020, 2017, 2019, NA, 2017, 2021, 2020…
$ q13_08 <dbl+lbl> 2, 5, 2, 5, 1, 1, 5, 2, 1, 5, 1, 5, 5, 5, 2, 5, 2, 5…
$ q13_09 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 2, 1, 1, 1, 1, 1, 1, 1…
$ q13_10 <dbl+lbl> 2, 5, 5, 1, 2, 1, 1, 1, 2, 3, 1, 5, 1, 5, 4, 1, 5, 5…
$ q13_11 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ q13_12a <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2…
$ q13_12b <dbl+lbl> 2, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q13_12c <dbl+lbl> 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2…
$ q13_12d <dbl+lbl> 2, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q13_12e <dbl+lbl> 1, 1, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2…
$ q13_12f <dbl+lbl> 2, 1, 1, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q13_12g <dbl+lbl> 2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2…
$ q13_13 <dbl+lbl> 4, 4, 7, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4…
$ q13_14 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ q13_14_ot <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", …
$ q13_15 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 4, 5…
$ q13_16 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
$ q13_17 <dbl+lbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ q13_18 <dbl> 2, 4, 2, 2, 4, 3, 4, 5, 3, 4, 4, 4, 4, 3, 5, 2, 4, 4, 2,…
$ q13_19 <dbl> 2, 4, 2, 2, 2, 3, 4, 2, 3, 2, 3, 4, 3, 2, 5, 2, 3, 3, 2,…
$ q13_20 <dbl> 1, 2, 2, 1, 1, 2, 3, 1, 2, 3, 2, 2, 2, 1, 2, 2, 3, 2, 2,…
$ q13_21 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_22 <dbl> 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0,…
$ q13_23a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1,…
$ q13_23b <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,…
$ q13_23c <dbl> 1, 0, 1, 1, 2, 2, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 4, 1, 2,…
$ q13_23d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_23e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_23f <dbl> 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0,…
$ q13_23h <dbl> 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_23i <dbl> 0, 1, 1, 0, 1, 2, 2, 1, 2, 1, 2, 1, 0, 0, 2, 0, 2, 0, 1,…
$ q13_23j <dbl> 1, 2, 3, 1, 1, 2, 5, 1, 2, 1, 5, 4, 1, 0, 4, 0, 2, 0, 1,…
$ q13_23k <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 2, 1, 1, 1,…
$ q13_23l <dbl> 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 2, 1, 0, 1, 0,…
$ q13_23m <dbl> 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0,…
$ q13_23n <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_24 <dbl+lbl> 2, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 3, 5, 3, 2, 1, 2, 2…
$ q19_01a <dbl+lbl> 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1…
$ q19_01b <dbl+lbl> 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, …
$ q19_01c <dbl+lbl> 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, …
$ q19_01d <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1…
$ q19_01e <dbl+lbl> 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1…
$ q19_01f <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, …
$ q19_01g <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1…
$ q19_01h <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1…
$ q20_01_2001a <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2…
$ q20_01_2001b <dbl+lbl> 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2…
$ q20_01_2001c <dbl+lbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q20_01_2001d <dbl+lbl> 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 1…
$ q20_01_2001e <dbl+lbl> 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 1, 2…
$ q20_01_2001f <dbl+lbl> 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q20_01_2001g <dbl+lbl> 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q20_01_2001h <dbl+lbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
$ q20_01_2001i <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", …
$ weight2 <dbl> 36.20733, 50.22768, 36.41680, 32.17578, 56.93408, 64.684…
$ weight3 <dbl> 36.20733, 150.68304, 36.41680, 128.70313, 56.93408, 129.…
$ quintile <dbl+lbl> 5, 3, 5, 2, 5, 5, 4, 5, 4, 5, 4, 5, 4, 2, 4, 5, 5, 3…
$ decile <dbl+lbl> 10, 6, 10, 4, 10, 10, 8, 10, 7, 10, 7, 9, 8, …
$ centile <dbl> 100, 60, 98, 33, 98, 99, 75, 99, 66, 99, 65, 89, 78, 29,…
$ cons_pc <dbl> 22965.266, 4823.205, 14460.016, 3115.352, 15724.735, 180…
$ food_pc <dbl> 14684.6487, 1991.8493, 5201.2645, 1488.5779, 5734.7305, …
$ nonfood_pc <dbl> 8280.6176, 2831.3561, 9258.7511, 1626.7739, 9990.0040, 1…
$ line_extreme <dbl> 1011.0048, 1011.0048, 1011.0048, 1011.0048, 1011.0048, 1…
$ line_moderate <dbl> 2659.820, 2659.820, 2659.820, 2659.820, 2659.820, 2659.8…
$ poor_extreme <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ poor_all <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
$ poor <dbl+lbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3…
$ Year <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 20…
$ CPI_june2017 <dbl> 127.2, 127.2, 127.2, 127.2, 127.2, 127.2, 127.2, 127.2, …
$ CPI_june2022 <dbl> 460.825, 460.825, 460.825, 460.825, 460.825, 460.825, 46…
$ CPI_2017_22 <dbl> 3.622838, 3.622838, 3.622838, 3.622838, 3.622838, 3.6228…
Currently, the q1tc_r variable is a numeric vector - even though the SPSS labels are still recorded. In R, we often use factors to represent categorical data. Factors are stored as integers with labels attached.
We can easily convert the q1tc_r variable to a factor using the haven package’s as_factor() function, which will also preserve the labels.
Rows: 1,539
Columns: 162
$ idnum <fct> 5581, 5642, 4622, 4034, 9206, 2101, 3574, 709, 8666, 1566,…
$ pais <fct> Suriname, Suriname, Suriname, Suriname, Suriname, Suriname…
$ nationality <fct> Surinamese, Surinamese, Surinamese, Surinamese, Surinamese…
$ estratopri <fct> Wanica / Para, Paramaribo, Paramaribo, Wanica / Para, Para…
$ estratosec <fct> "Medium (Between 3,000 and 10,000 inhabitants)", "Large (M…
$ strata <fct> 2702, 2701, 2701, 2702, 2701, 2702, 2701, 2701, 2701, 2701…
$ prov <fct> Wanica, Paramaribo, Paramaribo, Wanica, Paramaribo, Wanica…
$ municipio <fct> Saramacca Polder, Flora, Flora, Saramacca Polder, Flora, S…
$ upm <fct> 43, 21, 21, 43, 21, 43, 21, 21, 21, 21, 21, 21, 43, 21, 21…
$ ur <fct> Rural, Urban, Urban, Rural, Urban, Rural, Urban, Urban, Ur…
$ cluster <fct> 87, 67, 5, 234, 67, 234, 233, 233, 5, 92, 67, 233, 234, 5,…
$ year <fct> 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023…
$ wave <fct> 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023…
$ wt <fct> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ q1tc_r <fct> NA, Woman/female, Man/male, Woman/female, Man/male, Woman/…
$ q2 <fct> 59, 61, 30, 36, 34, 53, 75, 27, 27, 50, 60, 34, 50, 30, 18…
$ a4n <fct> "Economic issues", "Economic issues", "Economic issues", "…
$ soct2 <fct> Worse, Worse, Worse, Worse, Worse, Same, Worse, Worse, Wor…
$ idio2 <fct> Worse, Worse, Worse, Worse, Worse, Worse, Worse, Worse, Wo…
$ mesfut1 <fct> Not at all, Somewhat, A little, A little, Somewhat, Not at…
$ cp8 <fct> Never, Never, Never, Never, Never, Never, Never, Never, Ne…
$ it1 <fct> Somewhat trustworthy, Very trustworthy, Not very trustwort…
$ jc10 <fct> A military take-over of the state would be justified, A mi…
$ jc13 <fct> NA, NA, NA, A military take-over of the state would be jus…
$ jc15a <fct> "No, it is not justified", NA, NA, "No, it is not justifie…
$ jc16a <fct> NA, "No, it is not justified", "No, it is not justified", …
$ vic1ext <fct> No, No, No, No, No, No, No, Yes, No, No, No, No, No, No, N…
$ aoj11 <fct> Somewhat safe, Somewhat safe, Very unsafe, Somewhat unsafe…
$ aoj12 <fct> NA, A lot, A lot, A lot, Some, None, Little, None, Some, S…
$ pese1 <fct> Lower, Lower, Higher, Lower, Lower, Higher, Lower, Higher,…
$ pese2 <fct> About the same, Higher, Higher, Lower, Lower, Higher, Abou…
$ aoj17 <fct> None, None, A lot, None, Somewhat, None, None, Little, Lit…
$ ivol24 <fct> No, NA, No, No, No, No, No, Yes, NA, NA, No, Yes, No, No, …
$ gang21 <fct> NA, NA, One person, NA, No, NA, NA, NA, One person, NA, NA…
$ gang22 <fct> NA, NA, Four or more persons, NA, No, NA, NA, One person, …
$ gang23 <fct> NA, NA, No, NA, Yes, NA, NA, No, NA, NA, NA, NA, No, NA, N…
$ gang24 <fct> NA, NA, Yes, NA, No, NA, NA, NA, Yes, NA, NA, NA, No, NA, …
$ aoj30 <fct> No, Yes, Yes, Yes, Yes, No, No, Yes, Yes, Yes, Yes, Yes, Y…
$ diso8 <fct> Not a problem, NA, Very serious, Not a problem, Not a prob…
$ drugt1 <fct> Very serious, Very serious, Very serious, Very serious, Ve…
$ countfair1 <fct> NA, Always, Always, Never, Sometimes, Always, Sometimes, N…
$ countfair3 <fct> Never, Never, Always, Sometimes, Sometimes, Always, Someti…
$ chm1bn <fct> NA, NA, "To be able to vote to elect the authorities, even…
$ chm2bn <fct> NA, NA, NA, "A system that guarantees access to a basic in…
$ b0 <fct> Not at all, 4, A lot, Not at all, 4, 4, 6, A lot, 3, A lot…
$ b1 <fct> A lot, 5, 4, 4, 5, A lot, 4, 3, 4, 5, 4, 4, 5, 6, 5, 4, 3,…
$ b2 <fct> 6, 4, 2, 4, 4, 2, 4, 5, 4, 6, 3, 3, 4, Not at all, 6, 5, N…
$ b3 <fct> 2, 3, Not at all, 4, 5, 2, 2, 2, 5, 3, 4, 2, 3, Not at all…
$ b4 <fct> 5, 5, Not at all, 4, 5, A lot, 3, Not at all, 5, 2, Not at…
$ b6 <fct> 4, 3, A lot, 4, A lot, A lot, A lot, 2, 5, 4, Not at all, …
$ b12 <fct> 3, 6, Not at all, 5, 4, Not at all, 5, Not at all, 5, Not …
$ b13 <fct> 2, 6, Not at all, Not at all, 5, Not at all, 4, 3, 3, 3, 4…
$ b18 <fct> Not at all, 5, Not at all, 5, 2, Not at all, 3, 2, 3, Not …
$ b21 <fct> A lot, 3, Not at all, Not at all, 4, Not at all, 4, Not at…
$ b21a <fct> Not at all, 5, Not at all, Not at all, 4, Not at all, Not …
$ b21f <fct> 2, 5, Not at all, Not at all, 4, Not at all, 5, 2, 2, 2, N…
$ b31 <fct> 3, 6, Not at all, 5, 3, Not at all, 4, 2, 2, Not at all, 5…
$ b37 <fct> 5, 6, Not at all, 5, 5, Not at all, 5, 3, 3, 5, 4, 4, 4, 4…
$ b47a <fct> Not at all, 5, Not at all, 5, 3, Not at all, 5, 3, 5, 4, 6…
$ m1 <fct> Bad, Neither good nor bad (fair), Very bad, Very bad, Neit…
$ pop101 <fct> 2, 4, Strongly disagree, 4, 5, Strongly disagree, 2, Stron…
$ pop107 <fct> Strongly disagree, 3, Strongly agree, Strongly agree, 6, S…
$ ros4 <fct> Strongly agree, Strongly agree, 5, Strongly agree, 6, Stro…
$ ing4 <fct> Strongly disagree, Strongly agree, 2, 4, 4, Strongly disag…
$ eff1 <fct> 3, 5, Strongly disagree, Strongly disagree, 3, Strongly di…
$ eff2 <fct> 2, 5, 6, 4, 5, Strongly disagree, 4, Strongly disagree, 5,…
$ dra1 <fct> 5, 6, Strongly agree, 4, 5, Strongly disagree, Strongly di…
$ dra2 <fct> Strongly agree, 6, Strongly agree, 4, 5, Strongly disagree…
$ vb21n <fct> "It is not possible to have an influence to change things"…
$ crg1 <fct> "No, it is not justifiable", "No, it is not justifiable", …
$ crg2 <fct> "No, it is not justifiable", "No, it is not justifiable", …
$ env2b <fct> Very serious, Very serious, Very serious, Very serious, So…
$ anestg <fct> Somewhat, A lot, Not at all, Not at all, Somewhat, Not at …
$ pn4 <fct> Dissatisfied, Satisfied, Dissatisfied, Dissatisfied, Dissa…
$ dem30 <fct> Yes, Yes, Yes, Yes, Yes, No, Yes, Yes, No, Yes, Yes, Yes, …
$ e5 <fct> Strongly disapprove, 8, Strongly approve, Strongly disappr…
$ e20sur <fct> 2, Strongly disapprove, 8, Strongly approve, 7, Strongly d…
$ e17a <fct> 3, NA, Strongly approve, Strongly approve, 9, NA, 9, Stron…
$ e17b <fct> NA, 8, NA, NA, NA, Strongly disapprove, NA, NA, NA, 6, Str…
$ d3 <fct> 5, 4, 6, Strongly disapprove, 6, Strongly disapprove, 3, S…
$ d4 <fct> 7, 7, Strongly disapprove, 4, 5, Strongly disapprove, 2, S…
$ d6 <fct> Strongly disapprove, 5, Strongly disapprove, Strongly disa…
$ d5newa <fct> NA, 6, Strongly disapprove, NA, NA, Strongly disapprove, N…
$ d5newb <fct> 7, NA, NA, 5, 5, NA, Strongly disapprove, NA, NA, NA, NA, …
$ exc2 <fct> No, No, No, No, No, No, No, No, Yes, No, No, No, No, No, N…
$ exc6 <fct> No, No, No, No, No, No, No, No, Yes, No, No, No, No, No, N…
$ exc7new <fct> NA, Less than half of them, All, Less than half of them, M…
$ aoj2cora <fct> No, Yes, No, No, No, No, Yes, No, No, Yes, No, Yes, No, NA…
$ aoj2corb <fct> NA, Not so serious, NA, NA, NA, NA, Very serious, NA, NA, …
$ lib2c <fct> Enough, Very little, Very little, Very little, Very little…
$ vb2 <fct> Voted, Did not vote, Did not vote, Voted, Voted, Voted, Di…
$ vb3n <fct> NDP - National Democratic Party, NA, NA, VHP - Progressive…
$ vb10 <fct> No, No, No, No, Yes, No, No, No, No, No, Yes, No, No, No, …
$ vb11 <fct> NA, NA, NA, NA, National Democratic Party - NDP, NA, NA, N…
$ pol1 <fct> None, Some, None, A lot, Little, None, Some, None, Some, S…
$ vb20 <fct> Would vote for a candidate or party different from the cur…
$ vb50 <fct> Strongly disagree, Disagree, Strongly disagree, Disagree, …
$ vb51 <fct> Both the same, NA, NA, Both the same, Both the same, Both …
$ vb52 <fct> NA, A woman, It does not matter, NA, NA, NA, NA, It does n…
$ vb58 <fct> NA, NA, NA, Disagree, Disagree, Disagree, Agree, NA, Disag…
$ vb58exp <fct> Disagree, Disagree, Disagree, NA, NA, NA, NA, Strongly agr…
$ dvw1 <fct> Would not approve but understand, Would not approve nor un…
$ dvw2 <fct> Would not approve nor understand, Would not approve nor un…
$ for5n <fct> India, United States, United States, United States, United…
$ mil10a <fct> Somewhat trustworthy, Not very trustworthy, Somewhat trust…
$ mil10b <fct> Not at all trustworthy, Not very trustworthy, NA, NA, Not …
$ mil10e <fct> Somewhat trustworthy, Somewhat trustworthy, Somewhat trust…
$ dis11 <fct> Never, Never, Many times, Never, Never, Never, Never, Some…
$ dis12 <fct> Never, Never, Many times, Never, Never, Never, Never, Some…
$ mgm1 <fct> Very harmful, Very harmful, Very harmful, Very harmful, So…
$ mgm2 <fct> There Is no gold mining where you live, There Is no gold m…
$ mgm3 <fct> NA, Too much, Very little, Too much, Very little, NA, Very…
$ wf1 <fct> No, No, No, No, No, No, No, No, No, No, No, No, No, No, No…
$ edre <fct> "Primary School incomplete", "Secondary (Middle through Hi…
$ q3cn <fct> "Hindu", NA, "None (Believes in a Supreme Entity but does …
$ q5b <fct> Very important, Very important, Very important, Very impor…
$ ocup4a <fct> "Not working and not looking for a job?", "Taking care of …
$ formal <fct> NA, NA, No, NA, Yes, Yes, NA, Yes, Yes, Yes, No, Yes, Yes,…
$ q10inc <fct> "Between SRD 1,501 - SRD 2,500", "Between SRD 5,201 - SRD …
$ q10e <fct> Decreased?, Remained the same?, Remained the same?, Remain…
$ q14 <fct> No, No, Yes, Yes, Yes, No, No, No, No, No, Yes, Yes, Yes, …
$ fs2 <fct> No, No, No, Yes, No, No, No, Yes, Yes, Yes, No, No, Yes, N…
$ fs212 <fct> No, No, No, NA, Yes, No, No, NA, NA, NA, No, No, NA, No, N…
$ fs8 <fct> No, No, Yes, No, No, Yes, No, No, Yes, No, No, No, Yes, No…
$ ws1 <fct> No, No, No, No, No, No, No, No, No, Yes, No, No, No, No, N…
$ ws2 <fct> NA, NA, NA, NA, NA, NA, NA, NA, NA, Always, NA, NA, NA, NA…
$ q11n <fct> Married, Married, Single, Common law marriage (Living toge…
$ q12cn <fct> 3, 2, 9, 6, 5, 6, 2, 2, 4, 2, 4, 6, 4, 4, 8, 6, 4, 1, 5, 7…
$ q12bn <fct> None, None, 2, 2, 1, None, None, None, None, None, None, 2…
$ q12bnf <fct> NA, NA, "No", "Yes, parent", "Yes, parent", NA, NA, NA, NA…
$ q12p <fct> NA, 22, NA, 20, NA, 23, 29, NA, NA, 17, NA, 19, NA, 26, NA…
$ etid <fct> Hindustani ("East Indians"), Mixed, Afro-Surinamese/Creole…
$ leng1 <fct> Sarnami, Dutch, Dutch, Sarnami, Dutch, Sarnami, Dutch, Dut…
$ gi0n <fct> A few times a month, Daily, Daily, Daily, A few times a we…
$ smedia1n <fct> No, Yes, Yes, No, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Y…
$ smedia3n <fct> NA, A few times a week, Daily, NA, Daily, NA, Daily, Daily…
$ smedia3b <fct> NA, NA, Several times a day, NA, Several times a day, NA, …
$ smedia11 <fct> No, No, No, Yes, Yes, No, Yes, Yes, Yes, No, Yes, Yes, No,…
$ smedia12 <fct> No, No, No, Yes, No, No, No, Yes, No, No, No, No, No, No, …
$ smedia13 <fct> Not at all, Very much, Somewhat, Not at all, Somewhat, Not…
$ smedia14n <fct> Not at all, Somewhat, Very much, Somewhat, Somewhat, Not a…
$ smedia15 <fct> Not at all, A Little, Very much, Not at all, A Little, Not…
$ smedia16 <fct> Phone call, Text message, In person, Phone call, Text mess…
$ r3 <fct> No, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes,…
$ r4a <fct> Yes, Yes, Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes,…
$ r6 <fct> Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes…
$ r7 <fct> No, Yes, No, Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, N…
$ r12 <fct> Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes…
$ r15 <fct> No, Yes, Yes, No, Yes, No, No, Yes, No, No, Yes, Yes, Yes,…
$ r18n <fct> No, Yes, Yes, No, Yes, No, No, Yes, Yes, No, Yes, Yes, Yes…
$ r18 <fct> No, Yes, Yes, No, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Y…
$ r16 <fct> Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes,…
$ r27 <fct> No, Yes, Yes, No, Yes, No, No, No, No, No, Yes, No, Yes, N…
$ colorr <fct> 5, 3, 8, 4, 9, 5, 9, 3, 9, 7, 3, 6, 3, 5, 4, 4, 5, 3, 8, 5…
$ surlangq <fct> The full interview was conducted in Sranan Tongo, The full…
$ noise1 <fct> "No", "No", "No", "No", "No", "No", "No", "No", "No", "No"…
$ conocim <fct> Very low, High, Neither high or low, Low, Neither high or …
$ sexin <fct> Female/Woman, Female/Woman, Female/Woman, Female/Woman, Fe…
$ colori <fct> 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9…
$ formatq <fct> STG, STG, STG, STG, STG, STG, STG, STG, STG, STG, STG, STG…
$ idiomaq <fct> See SURLANGQ, See SURLANGQ, See SURLANGQ, See SURLANGQ, Se…
$ fecha <chr> "20apr2023", "28mar2023", "01apr2023", "12apr2023", "30mar…
Rows: 2,502
Columns: 114
$ hhid <dbl> 1102500401, 1102500501, 1102500502, 1102501202, 11074305…
$ domain2 <fct> 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, 1.1, Rest of the…
$ psu <dbl> 10250, 10250, 10250, 10250, 10743, 10743, 10743, 10743, …
$ domain <fct> Great Paramaribo, Great Paramaribo, Great Paramaribo, Gr…
$ gp_subdom <fct> Paramaribo, Paramaribo, Paramaribo, Paramaribo, Paramari…
$ district <chr> "Paramaribo", "Paramaribo", "Paramaribo", "Paramaribo", …
$ fortnight <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ panel <fct> Panel, Panel, Panel, Panel, Panel, Panel, Panel, Panel, …
$ hhid16 <dbl> 6015041, 6015051, 6015052, 6015122, 6039051, 6039081, 60…
$ lat_cen <dbl> 5.847621, 5.847621, 5.847621, 5.847621, 5.819147, 5.8191…
$ long_cen <dbl> -55.17032, -55.17032, -55.17032, -55.17032, -55.21745, -…
$ result <fct> Interview finalized - Fully completed, Interview finaliz…
$ end_date_n <date> 2022-01-04, 2022-01-05, 2022-01-10, 2022-01-04, 2022-01…
$ Year_s <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 20…
$ Month_s <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ Day <dbl> 4, 5, 10, 4, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 7, 15, 9, 14,…
$ stratum <dbl> 2, 2, 2, 2, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6,…
$ hhid_text <chr> "01102500401", "01102500501", "01102500502", "0110250120…
$ HHsize <dbl> 1, 3, 1, 4, 1, 2, 5, 1, 3, 1, 7, 4, 1, 1, 4, 2, 2, 2, 2,…
$ HHsize2 <dbl> 1, 2, 1, 4, 1, 2, 5, 1, 3, 1, 7, 4, 1, 1, 4, 2, 2, 2, 2,…
$ interv <dbl> 75, 75, 75, 75, 92, 92, 92, 92, 92, 83, 77, 74, 99, 74, …
$ end_date <chr> "04/01/22", "05/01/22", "10/01/22", "04/01/22", "05/01/2…
$ q17_02 <fct> Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Ye…
$ q17_03a <fct> YES, YES, YES, NA, YES, YES, YES, YES, YES, YES, YES, YE…
$ q17_03b <fct> NO, NO, NO, NA, NO, NO, NO, NO, NO, NO, NO, NO, NO, NA, …
$ q17_04 <fct> NA, NA, NA, "Device cost (cell phone, computer, tablet)"…
$ q12a <fct> No, No, No, No, No, No, No, No, No, No, No, No, No, No, …
$ q12_01a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_01b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_02a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_02b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_03a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_03b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_04a <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_04b <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q12_05 <fct> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q13_01 <fct> House, House, House, House, House, House, House, House, …
$ q13_01_ot <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", …
$ q13_02 <fct> Owned (without mortgage), Owned (with mortgage), Owned (…
$ q13_03 <fct> Gov't rented/ Leased, Gov't rented/ Leased, Owned (with …
$ q13_04 <dbl> 1985, 2006, 2003, -1, 1982, 1980, 1982, 1992, 1980, 2005…
$ q13_05 <fct> Yes, No, No, No, Yes, Yes, Yes, No, Yes, Yes, Yes, No, N…
$ q13_06 <chr> "DAKPLATEN VERWISSELEN EN KEUKEN BIJGEBOU", "", "", "", …
$ q13_07 <dbl> 2020, NA, NA, NA, 2020, 2017, 2019, NA, 2017, 2021, 2020…
$ q13_08 <fct> Wood and building stones/bricks, Building stones, Wood a…
$ q13_09 <fct> Fully enclosed masonry, Fully enclosed masonry, Fully en…
$ q13_10 <fct> Wood, Tiles, Tiles, Masonry, Wood, Masonry, Masonry, Mas…
$ q13_11 <fct> "Metal roofing sheets/roof tiles (zinc, galva, aluminum)…
$ q13_12a <fct> No, No, No, No, No, No, No, No, No, No, No, No, No, No, …
$ q13_12b <fct> No, No, No, No, Yes, Yes, Yes, No, Yes, No, No, No, No, …
$ q13_12c <fct> Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, No, No,…
$ q13_12d <fct> No, Yes, Yes, Yes, No, Yes, No, Yes, Yes, No, No, No, No…
$ q13_12e <fct> Yes, Yes, Yes, Yes, Yes, No, Yes, No, No, No, No, No, No…
$ q13_12f <fct> No, Yes, Yes, No, Yes, Yes, No, Yes, No, No, No, No, No,…
$ q13_12g <fct> No, Yes, No, No, No, No, Yes, Yes, No, Yes, No, No, No, …
$ q13_13 <fct> Gas (propane), Gas (propane), None (does not cook), Gas …
$ q13_14 <fct> WC with flushing (linked to septic tank), WC with flushi…
$ q13_14_ot <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", …
$ q13_15 <fct> "Piped water in dwelling", "Piped water in dwelling", "P…
$ q13_16 <fct> SWM, SWM, SWM, SWM, SWM, SWM, SWM, SWM, SWM, SWM, SWM, S…
$ q13_17 <fct> Electricity directly from EBS, Electricity directly from…
$ q13_18 <dbl> 2, 4, 2, 2, 4, 3, 4, 5, 3, 4, 4, 4, 4, 3, 5, 2, 4, 4, 2,…
$ q13_19 <dbl> 2, 4, 2, 2, 2, 3, 4, 2, 3, 2, 3, 4, 3, 2, 5, 2, 3, 3, 2,…
$ q13_20 <dbl> 1, 2, 2, 1, 1, 2, 3, 1, 2, 3, 2, 2, 2, 1, 2, 2, 3, 2, 2,…
$ q13_21 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_22 <dbl> 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0,…
$ q13_23a <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1,…
$ q13_23b <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,…
$ q13_23c <dbl> 1, 0, 1, 1, 2, 2, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 4, 1, 2,…
$ q13_23d <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_23e <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_23f <dbl> 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0,…
$ q13_23h <dbl> 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_23i <dbl> 0, 1, 1, 0, 1, 2, 2, 1, 2, 1, 2, 1, 0, 0, 2, 0, 2, 0, 1,…
$ q13_23j <dbl> 1, 2, 3, 1, 1, 2, 5, 1, 2, 1, 5, 4, 1, 0, 4, 0, 2, 0, 1,…
$ q13_23k <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 2, 1, 1, 1,…
$ q13_23l <dbl> 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 2, 1, 0, 1, 0,…
$ q13_23m <dbl> 0, 1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0,…
$ q13_23n <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ q13_24 <fct> Relatives, Relatives, Relatives, Relatives, This dweling…
$ q19_01a <fct> Yes, Yes, No, Yes, Yes, No, No, No, No, No, Yes, No, No,…
$ q19_01b <fct> Yes, No, No, Yes, Yes, No, No, No, No, No, No, No, No, N…
$ q19_01c <fct> Yes, No, No, Yes, Yes, No, No, No, No, No, Yes, No, No, …
$ q19_01d <fct> Yes, No, No, No, No, No, No, No, No, Yes, No, No, No, No…
$ q19_01e <fct> Yes, Yes, No, Yes, No, No, No, No, No, No, Yes, No, No, …
$ q19_01f <fct> Yes, No, No, No, No, No, No, No, No, No, No, No, Yes, No…
$ q19_01g <fct> Yes, No, No, No, No, No, No, No, No, No, No, No, No, No,…
$ q19_01h <fct> Yes, No, No, No, No, No, No, No, No, No, No, No, No, No,…
$ q20_01_2001a <fct> No, No, No, No, No, No, No, No, No, Yes, No, No, Yes, No…
$ q20_01_2001b <fct> Yes, No, No, Yes, No, No, No, No, No, Yes, No, No, No, N…
$ q20_01_2001c <fct> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ q20_01_2001d <fct> Yes, Yes, No, Yes, Yes, No, No, No, No, No, No, Yes, Yes…
$ q20_01_2001e <fct> Yes, No, No, Yes, No, No, No, No, No, Yes, No, Yes, Yes,…
$ q20_01_2001f <fct> Yes, No, No, No, No, No, No, No, No, No, No, No, No, No,…
$ q20_01_2001g <fct> No, Yes, No, No, No, No, Yes, No, No, No, No, No, No, No…
$ q20_01_2001h <fct> No, No, No, No, No, No, No, No, No, No, No, No, No, No, …
$ q20_01_2001i <chr> "", "", "", "", "", "", "", "", "", "", "", "", "", "", …
$ weight2 <dbl> 36.20733, 50.22768, 36.41680, 32.17578, 56.93408, 64.684…
$ weight3 <dbl> 36.20733, 150.68304, 36.41680, 128.70313, 56.93408, 129.…
$ quintile <fct> Q5, Q3, Q5, Q2, Q5, Q5, Q4, Q5, Q4, Q5, Q4, Q5, Q4, Q2, …
$ decile <fct> D10, D, D10, D4, D10, D10, D8, D10, D7, D10, D7, D9, D8,…
$ centile <dbl> 100, 60, 98, 33, 98, 99, 75, 99, 66, 99, 65, 89, 78, 29,…
$ cons_pc <dbl> 22965.266, 4823.205, 14460.016, 3115.352, 15724.735, 180…
$ food_pc <dbl> 14684.6487, 1991.8493, 5201.2645, 1488.5779, 5734.7305, …
$ nonfood_pc <dbl> 8280.6176, 2831.3561, 9258.7511, 1626.7739, 9990.0040, 1…
$ line_extreme <dbl> 1011.0048, 1011.0048, 1011.0048, 1011.0048, 1011.0048, 1…
$ line_moderate <dbl> 2659.820, 2659.820, 2659.820, 2659.820, 2659.820, 2659.8…
$ poor_extreme <fct> Not extreme poor, Not extreme poor, Not extreme poor, No…
$ poor_all <fct> Not poor, Not poor, Not poor, Not poor, Not poor, Not po…
$ poor <fct> Non poor, Non poor, Non poor, Non poor, Non poor, Non po…
$ Year <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 2022, 20…
$ CPI_june2017 <dbl> 127.2, 127.2, 127.2, 127.2, 127.2, 127.2, 127.2, 127.2, …
$ CPI_june2022 <dbl> 460.825, 460.825, 460.825, 460.825, 460.825, 460.825, 46…
$ CPI_2017_22 <dbl> 3.622838, 3.622838, 3.622838, 3.622838, 3.622838, 3.6228…
Pipes are a way to chain together multiple operations in a more readable way. The pipe operator %>% takes the output of the left-hand side and passes it as the first argument to the function on the right-hand side. In R, there is now also the |> operator, which is a base R pipe.
Remember
With a pipe this would be
and with the base R pipe |> this would be
Rows: 1,539
Columns: 162
$ idnum <fct> 5581, 5642, 4622, 4034, 9206, 2101, 3574, 709, 8666, 1566,…
$ pais <fct> Suriname, Suriname, Suriname, Suriname, Suriname, Suriname…
$ nationality <fct> Surinamese, Surinamese, Surinamese, Surinamese, Surinamese…
$ estratopri <fct> Wanica / Para, Paramaribo, Paramaribo, Wanica / Para, Para…
$ estratosec <fct> "Medium (Between 3,000 and 10,000 inhabitants)", "Large (M…
$ strata <fct> 2702, 2701, 2701, 2702, 2701, 2702, 2701, 2701, 2701, 2701…
$ prov <fct> Wanica, Paramaribo, Paramaribo, Wanica, Paramaribo, Wanica…
$ municipio <fct> Saramacca Polder, Flora, Flora, Saramacca Polder, Flora, S…
$ upm <fct> 43, 21, 21, 43, 21, 43, 21, 21, 21, 21, 21, 21, 43, 21, 21…
$ ur <fct> Rural, Urban, Urban, Rural, Urban, Rural, Urban, Urban, Ur…
$ cluster <fct> 87, 67, 5, 234, 67, 234, 233, 233, 5, 92, 67, 233, 234, 5,…
$ year <fct> 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023…
$ wave <fct> 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023, 2023…
$ wt <fct> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ q1tc_r <fct> NA, Woman/female, Man/male, Woman/female, Man/male, Woman/…
$ q2 <fct> 59, 61, 30, 36, 34, 53, 75, 27, 27, 50, 60, 34, 50, 30, 18…
$ a4n <fct> "Economic issues", "Economic issues", "Economic issues", "…
$ soct2 <fct> Worse, Worse, Worse, Worse, Worse, Same, Worse, Worse, Wor…
$ idio2 <fct> Worse, Worse, Worse, Worse, Worse, Worse, Worse, Worse, Wo…
$ mesfut1 <fct> Not at all, Somewhat, A little, A little, Somewhat, Not at…
$ cp8 <fct> Never, Never, Never, Never, Never, Never, Never, Never, Ne…
$ it1 <fct> Somewhat trustworthy, Very trustworthy, Not very trustwort…
$ jc10 <fct> A military take-over of the state would be justified, A mi…
$ jc13 <fct> NA, NA, NA, A military take-over of the state would be jus…
$ jc15a <fct> "No, it is not justified", NA, NA, "No, it is not justifie…
$ jc16a <fct> NA, "No, it is not justified", "No, it is not justified", …
$ vic1ext <fct> No, No, No, No, No, No, No, Yes, No, No, No, No, No, No, N…
$ aoj11 <fct> Somewhat safe, Somewhat safe, Very unsafe, Somewhat unsafe…
$ aoj12 <fct> NA, A lot, A lot, A lot, Some, None, Little, None, Some, S…
$ pese1 <fct> Lower, Lower, Higher, Lower, Lower, Higher, Lower, Higher,…
$ pese2 <fct> About the same, Higher, Higher, Lower, Lower, Higher, Abou…
$ aoj17 <fct> None, None, A lot, None, Somewhat, None, None, Little, Lit…
$ ivol24 <fct> No, NA, No, No, No, No, No, Yes, NA, NA, No, Yes, No, No, …
$ gang21 <fct> NA, NA, One person, NA, No, NA, NA, NA, One person, NA, NA…
$ gang22 <fct> NA, NA, Four or more persons, NA, No, NA, NA, One person, …
$ gang23 <fct> NA, NA, No, NA, Yes, NA, NA, No, NA, NA, NA, NA, No, NA, N…
$ gang24 <fct> NA, NA, Yes, NA, No, NA, NA, NA, Yes, NA, NA, NA, No, NA, …
$ aoj30 <fct> No, Yes, Yes, Yes, Yes, No, No, Yes, Yes, Yes, Yes, Yes, Y…
$ diso8 <fct> Not a problem, NA, Very serious, Not a problem, Not a prob…
$ drugt1 <fct> Very serious, Very serious, Very serious, Very serious, Ve…
$ countfair1 <fct> NA, Always, Always, Never, Sometimes, Always, Sometimes, N…
$ countfair3 <fct> Never, Never, Always, Sometimes, Sometimes, Always, Someti…
$ chm1bn <fct> NA, NA, "To be able to vote to elect the authorities, even…
$ chm2bn <fct> NA, NA, NA, "A system that guarantees access to a basic in…
$ b0 <fct> Not at all, 4, A lot, Not at all, 4, 4, 6, A lot, 3, A lot…
$ b1 <fct> A lot, 5, 4, 4, 5, A lot, 4, 3, 4, 5, 4, 4, 5, 6, 5, 4, 3,…
$ b2 <fct> 6, 4, 2, 4, 4, 2, 4, 5, 4, 6, 3, 3, 4, Not at all, 6, 5, N…
$ b3 <fct> 2, 3, Not at all, 4, 5, 2, 2, 2, 5, 3, 4, 2, 3, Not at all…
$ b4 <fct> 5, 5, Not at all, 4, 5, A lot, 3, Not at all, 5, 2, Not at…
$ b6 <fct> 4, 3, A lot, 4, A lot, A lot, A lot, 2, 5, 4, Not at all, …
$ b12 <fct> 3, 6, Not at all, 5, 4, Not at all, 5, Not at all, 5, Not …
$ b13 <fct> 2, 6, Not at all, Not at all, 5, Not at all, 4, 3, 3, 3, 4…
$ b18 <fct> Not at all, 5, Not at all, 5, 2, Not at all, 3, 2, 3, Not …
$ b21 <fct> A lot, 3, Not at all, Not at all, 4, Not at all, 4, Not at…
$ b21a <fct> Not at all, 5, Not at all, Not at all, 4, Not at all, Not …
$ b21f <fct> 2, 5, Not at all, Not at all, 4, Not at all, 5, 2, 2, 2, N…
$ b31 <fct> 3, 6, Not at all, 5, 3, Not at all, 4, 2, 2, Not at all, 5…
$ b37 <fct> 5, 6, Not at all, 5, 5, Not at all, 5, 3, 3, 5, 4, 4, 4, 4…
$ b47a <fct> Not at all, 5, Not at all, 5, 3, Not at all, 5, 3, 5, 4, 6…
$ m1 <fct> Bad, Neither good nor bad (fair), Very bad, Very bad, Neit…
$ pop101 <fct> 2, 4, Strongly disagree, 4, 5, Strongly disagree, 2, Stron…
$ pop107 <fct> Strongly disagree, 3, Strongly agree, Strongly agree, 6, S…
$ ros4 <fct> Strongly agree, Strongly agree, 5, Strongly agree, 6, Stro…
$ ing4 <fct> Strongly disagree, Strongly agree, 2, 4, 4, Strongly disag…
$ eff1 <fct> 3, 5, Strongly disagree, Strongly disagree, 3, Strongly di…
$ eff2 <fct> 2, 5, 6, 4, 5, Strongly disagree, 4, Strongly disagree, 5,…
$ dra1 <fct> 5, 6, Strongly agree, 4, 5, Strongly disagree, Strongly di…
$ dra2 <fct> Strongly agree, 6, Strongly agree, 4, 5, Strongly disagree…
$ vb21n <fct> "It is not possible to have an influence to change things"…
$ crg1 <fct> "No, it is not justifiable", "No, it is not justifiable", …
$ crg2 <fct> "No, it is not justifiable", "No, it is not justifiable", …
$ env2b <fct> Very serious, Very serious, Very serious, Very serious, So…
$ anestg <fct> Somewhat, A lot, Not at all, Not at all, Somewhat, Not at …
$ pn4 <fct> Dissatisfied, Satisfied, Dissatisfied, Dissatisfied, Dissa…
$ dem30 <fct> Yes, Yes, Yes, Yes, Yes, No, Yes, Yes, No, Yes, Yes, Yes, …
$ e5 <fct> Strongly disapprove, 8, Strongly approve, Strongly disappr…
$ e20sur <fct> 2, Strongly disapprove, 8, Strongly approve, 7, Strongly d…
$ e17a <fct> 3, NA, Strongly approve, Strongly approve, 9, NA, 9, Stron…
$ e17b <fct> NA, 8, NA, NA, NA, Strongly disapprove, NA, NA, NA, 6, Str…
$ d3 <fct> 5, 4, 6, Strongly disapprove, 6, Strongly disapprove, 3, S…
$ d4 <fct> 7, 7, Strongly disapprove, 4, 5, Strongly disapprove, 2, S…
$ d6 <fct> Strongly disapprove, 5, Strongly disapprove, Strongly disa…
$ d5newa <fct> NA, 6, Strongly disapprove, NA, NA, Strongly disapprove, N…
$ d5newb <fct> 7, NA, NA, 5, 5, NA, Strongly disapprove, NA, NA, NA, NA, …
$ exc2 <fct> No, No, No, No, No, No, No, No, Yes, No, No, No, No, No, N…
$ exc6 <fct> No, No, No, No, No, No, No, No, Yes, No, No, No, No, No, N…
$ exc7new <fct> NA, Less than half of them, All, Less than half of them, M…
$ aoj2cora <fct> No, Yes, No, No, No, No, Yes, No, No, Yes, No, Yes, No, NA…
$ aoj2corb <fct> NA, Not so serious, NA, NA, NA, NA, Very serious, NA, NA, …
$ lib2c <fct> Enough, Very little, Very little, Very little, Very little…
$ vb2 <fct> Voted, Did not vote, Did not vote, Voted, Voted, Voted, Di…
$ vb3n <fct> NDP - National Democratic Party, NA, NA, VHP - Progressive…
$ vb10 <fct> No, No, No, No, Yes, No, No, No, No, No, Yes, No, No, No, …
$ vb11 <fct> NA, NA, NA, NA, National Democratic Party - NDP, NA, NA, N…
$ pol1 <fct> None, Some, None, A lot, Little, None, Some, None, Some, S…
$ vb20 <fct> Would vote for a candidate or party different from the cur…
$ vb50 <fct> Strongly disagree, Disagree, Strongly disagree, Disagree, …
$ vb51 <fct> Both the same, NA, NA, Both the same, Both the same, Both …
$ vb52 <fct> NA, A woman, It does not matter, NA, NA, NA, NA, It does n…
$ vb58 <fct> NA, NA, NA, Disagree, Disagree, Disagree, Agree, NA, Disag…
$ vb58exp <fct> Disagree, Disagree, Disagree, NA, NA, NA, NA, Strongly agr…
$ dvw1 <fct> Would not approve but understand, Would not approve nor un…
$ dvw2 <fct> Would not approve nor understand, Would not approve nor un…
$ for5n <fct> India, United States, United States, United States, United…
$ mil10a <fct> Somewhat trustworthy, Not very trustworthy, Somewhat trust…
$ mil10b <fct> Not at all trustworthy, Not very trustworthy, NA, NA, Not …
$ mil10e <fct> Somewhat trustworthy, Somewhat trustworthy, Somewhat trust…
$ dis11 <fct> Never, Never, Many times, Never, Never, Never, Never, Some…
$ dis12 <fct> Never, Never, Many times, Never, Never, Never, Never, Some…
$ mgm1 <fct> Very harmful, Very harmful, Very harmful, Very harmful, So…
$ mgm2 <fct> There Is no gold mining where you live, There Is no gold m…
$ mgm3 <fct> NA, Too much, Very little, Too much, Very little, NA, Very…
$ wf1 <fct> No, No, No, No, No, No, No, No, No, No, No, No, No, No, No…
$ edre <fct> "Primary School incomplete", "Secondary (Middle through Hi…
$ q3cn <fct> "Hindu", NA, "None (Believes in a Supreme Entity but does …
$ q5b <fct> Very important, Very important, Very important, Very impor…
$ ocup4a <fct> "Not working and not looking for a job?", "Taking care of …
$ formal <fct> NA, NA, No, NA, Yes, Yes, NA, Yes, Yes, Yes, No, Yes, Yes,…
$ q10inc <fct> "Between SRD 1,501 - SRD 2,500", "Between SRD 5,201 - SRD …
$ q10e <fct> Decreased?, Remained the same?, Remained the same?, Remain…
$ q14 <fct> No, No, Yes, Yes, Yes, No, No, No, No, No, Yes, Yes, Yes, …
$ fs2 <fct> No, No, No, Yes, No, No, No, Yes, Yes, Yes, No, No, Yes, N…
$ fs212 <fct> No, No, No, NA, Yes, No, No, NA, NA, NA, No, No, NA, No, N…
$ fs8 <fct> No, No, Yes, No, No, Yes, No, No, Yes, No, No, No, Yes, No…
$ ws1 <fct> No, No, No, No, No, No, No, No, No, Yes, No, No, No, No, N…
$ ws2 <fct> NA, NA, NA, NA, NA, NA, NA, NA, NA, Always, NA, NA, NA, NA…
$ q11n <fct> Married, Married, Single, Common law marriage (Living toge…
$ q12cn <fct> 3, 2, 9, 6, 5, 6, 2, 2, 4, 2, 4, 6, 4, 4, 8, 6, 4, 1, 5, 7…
$ q12bn <fct> None, None, 2, 2, 1, None, None, None, None, None, None, 2…
$ q12bnf <fct> NA, NA, "No", "Yes, parent", "Yes, parent", NA, NA, NA, NA…
$ q12p <fct> NA, 22, NA, 20, NA, 23, 29, NA, NA, 17, NA, 19, NA, 26, NA…
$ etid <fct> Hindustani ("East Indians"), Mixed, Afro-Surinamese/Creole…
$ leng1 <fct> Sarnami, Dutch, Dutch, Sarnami, Dutch, Sarnami, Dutch, Dut…
$ gi0n <fct> A few times a month, Daily, Daily, Daily, A few times a we…
$ smedia1n <fct> No, Yes, Yes, No, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Y…
$ smedia3n <fct> NA, A few times a week, Daily, NA, Daily, NA, Daily, Daily…
$ smedia3b <fct> NA, NA, Several times a day, NA, Several times a day, NA, …
$ smedia11 <fct> No, No, No, Yes, Yes, No, Yes, Yes, Yes, No, Yes, Yes, No,…
$ smedia12 <fct> No, No, No, Yes, No, No, No, Yes, No, No, No, No, No, No, …
$ smedia13 <fct> Not at all, Very much, Somewhat, Not at all, Somewhat, Not…
$ smedia14n <fct> Not at all, Somewhat, Very much, Somewhat, Somewhat, Not a…
$ smedia15 <fct> Not at all, A Little, Very much, Not at all, A Little, Not…
$ smedia16 <fct> Phone call, Text message, In person, Phone call, Text mess…
$ r3 <fct> No, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes,…
$ r4a <fct> Yes, Yes, Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes,…
$ r6 <fct> Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes…
$ r7 <fct> No, Yes, No, Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, N…
$ r12 <fct> Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes…
$ r15 <fct> No, Yes, Yes, No, Yes, No, No, Yes, No, No, Yes, Yes, Yes,…
$ r18n <fct> No, Yes, Yes, No, Yes, No, No, Yes, Yes, No, Yes, Yes, Yes…
$ r18 <fct> No, Yes, Yes, No, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Y…
$ r16 <fct> Yes, Yes, Yes, No, Yes, Yes, Yes, Yes, Yes, Yes, Yes, Yes,…
$ r27 <fct> No, Yes, Yes, No, Yes, No, No, No, No, No, Yes, No, Yes, N…
$ colorr <fct> 5, 3, 8, 4, 9, 5, 9, 3, 9, 7, 3, 6, 3, 5, 4, 4, 5, 3, 8, 5…
$ surlangq <fct> The full interview was conducted in Sranan Tongo, The full…
$ noise1 <fct> "No", "No", "No", "No", "No", "No", "No", "No", "No", "No"…
$ conocim <fct> Very low, High, Neither high or low, Low, Neither high or …
$ sexin <fct> Female/Woman, Female/Woman, Female/Woman, Female/Woman, Fe…
$ colori <fct> 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9…
$ formatq <fct> STG, STG, STG, STG, STG, STG, STG, STG, STG, STG, STG, STG…
$ idiomaq <fct> See SURLANGQ, See SURLANGQ, See SURLANGQ, See SURLANGQ, Se…
$ fecha <chr> "20apr2023", "28mar2023", "01apr2023", "12apr2023", "30mar…
%>% is the pipe operator from the magrittr package|> is the base R pipe operator introduced in R 4.1.0Both operators allow you to chain together multiple operations in a more readable way
A pipe is a way to pass the output of one function as the input to another function, without having to create intermediate variables.
A %>% B is equivalent to B(A), where A is the output of the left-hand side and B is the function on the right-hand side. A is expected to be the first argument in function B.
Warning
The next step in a pipe is always expected to be a function! If the next step is not a function, you need to be clever, otherwise you’ll get an error.
You can use the placeholder . (or _ with the native R pipe) to indicate where the output of the previous step should go in the next function.
For example,
Welch Two Sample t-test
data: Year_s by q13_05
t = -1, df = 1429, p-value = 0.3175
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
-0.0020710668 0.0006724654
sample estimates:
mean in group 1 mean in group 2
2022.000 2022.001
You can use the placeholder . (or _ with the native R pipe) to indicate where the output of the previous step should go in the next function.
For example,
Welch Two Sample t-test
data: Year_s by q13_05
t = -1, df = 1429, p-value = 0.3175
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
-0.0020710668 0.0006724654
sample estimates:
mean in group 1 mean in group 2
2022.000 2022.001
%$% is the exposition pipe from the magrittr package, which allows you to use the names of the variables in the data frame directly without having to use the $ operator.%<>% is the assignment pipe from the magrittr package, which allows you to modify the data frame in place, without the need for calling assign() or <- again.There are more pipes (like the %T>% pipe), but they can be very confusing and we therefore skip them in this course.
stata_data %>%
filter(q13_05 == 1 | q13_05 == 2) %$% # Note the exposition pipe
t.test(Year_s ~ q13_05)
Welch Two Sample t-test
data: Year_s by q13_05
t = -1, df = 1429, p-value = 0.3175
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
-0.0020710668 0.0006724654
sample estimates:
mean in group 1 mean in group 2
2022.000 2022.001
mutate() en recode()spss_data <- spss_data %>%
mutate(gender_rec = recode(gender,
"Man/male" = "male",
"Woman/female" = "female"))
spss_data$gender %>% head()[1] <NA> Woman/female Man/male Woman/female Man/male
[6] Woman/female
6 Levels: Man/male Woman/female ... N/A
[1] <NA> female male female male female
Levels: male female Does not identify as either man or woman DK NR N/A
With labeled variables, we can add an additional layer of description to variable, very similar to what SPSS and STATA do.
# A tibble: 1 × 1
mean_age
<dbl>
1 NA
age is also a factor, hence mean() is meaningless. We have to convert age to numeric:
RTo model objects based on other objects, we use ~ (tilde)
For example, to model body mass index (BMI) on weight, we would type
The ~ is used to separate the left- and right-hand sides in a model formula.
For functions (or models), within models we use I() - For example, to model body mass index (BMI) on its deterministic function of weight and height, we would type
We already saw the use of the ~ operator in the t.test() function, where we specified the outcome variable on the left-hand side and the grouping variable on the right-hand side.
broomWith the broom package, we can easily tidy up the output of models and other functions that return complex objects.
district
Brokopondo Commewijne Coronie Marowijne Nickerie Para Paramaribo
7 170 33 75 213 27 945
Saramacca Sipaliwini Wanica
233 118 681
stratum
district 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Brokopondo 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 3
Commewijne 0 0 0 0 0 46 0 0 0 124 0 0 0 0 0 0
Coronie 0 0 0 33 0 0 0 0 0 0 0 0 0 0 0 0
Marowijne 0 0 0 0 0 47 0 0 0 0 0 0 0 0 0 28
Nickerie 0 0 0 213 0 0 0 0 0 0 0 0 0 0 0 0
Para 0 0 0 0 0 0 0 0 22 0 0 0 0 0 0 5
Paramaribo 150 147 112 0 165 0 0 0 0 0 120 129 122 0 0 0
Saramacca 0 0 0 0 0 0 0 182 51 0 0 0 0 0 0 0
Sipaliwini 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 118
Wanica 0 0 0 0 0 0 233 0 57 0 0 0 0 164 227 0
stata_data %$%
table(district, stratum) %>% # calculate table
prop.table() %>% # convert to proportions
round(3) # round to 3 decimals stratum
district 1 2 3 4 5 6 7 8 9 10 11
Brokopondo 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.002 0.000 0.000
Commewijne 0.000 0.000 0.000 0.000 0.000 0.018 0.000 0.000 0.000 0.050 0.000
Coronie 0.000 0.000 0.000 0.013 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Marowijne 0.000 0.000 0.000 0.000 0.000 0.019 0.000 0.000 0.000 0.000 0.000
Nickerie 0.000 0.000 0.000 0.085 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Para 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.009 0.000 0.000
Paramaribo 0.060 0.059 0.045 0.000 0.066 0.000 0.000 0.000 0.000 0.000 0.048
Saramacca 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.073 0.020 0.000 0.000
Sipaliwini 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Wanica 0.000 0.000 0.000 0.000 0.000 0.000 0.093 0.000 0.023 0.000 0.000
stratum
district 12 13 14 15 16
Brokopondo 0.000 0.000 0.000 0.000 0.001
Commewijne 0.000 0.000 0.000 0.000 0.000
Coronie 0.000 0.000 0.000 0.000 0.000
Marowijne 0.000 0.000 0.000 0.000 0.011
Nickerie 0.000 0.000 0.000 0.000 0.000
Para 0.000 0.000 0.000 0.000 0.002
Paramaribo 0.052 0.049 0.000 0.000 0.000
Saramacca 0.000 0.000 0.000 0.000 0.000
Sipaliwini 0.000 0.000 0.000 0.000 0.047
Wanica 0.000 0.000 0.066 0.091 0.000
Tibbles are a modern re-imagining of data frames in R. They are part of the tidyverse and provide a more user-friendly interface for working with data.
[1] TRUE
# A tibble: 3 × 2
name band
<chr> <chr>
1 Mick Stones
2 John Beatles
3 Paul Beatles
RThere are several ‘layers’ in R. Some layers you are allowed to fiddle around in, some are forbidden. In general there is the following distinction:
The global environment can be seen as an olympic-size swimming pool. Everything you do has its place there.
If you’d like, you may create another, separate environment to work in.
If you create a function, it is positioned in the global environment.
Everything that happens in a function, stays in a function. Unless you specifically tell the function to share the information with the global environment.
See functions as a shampoo bottle in a swimming pool to which you add some water. If you’d like to see the color of the mixture, you’d have to squeeze the bottle for it to come out.
Namespaces are a way to organize functions and data in R. Every package has its own namespace, which means that functions and data in one package do not interfere with functions and data in another package.
- Everything needed to run the functions in a package is neatly contained within its own space
- See packages as separate (mini) pools that are connected to the main pool (the global environment)
The %in% operator is used to check if elements of one vector are present in another vector. It returns a logical vector indicating whether each element of the first vector is found in the second vector.
grepl()The grepl() function is used to search for a pattern in a character vector. It returns a logical vector indicating whether the pattern is found in each element of the character vector.
# A tibble: 11 × 8
x1 x2 x3 x4 y1 y2 y3 y4
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 10 10 10 8 8.04 9.14 7.46 6.58
2 8 8 8 8 6.95 8.14 6.77 5.76
3 13 13 13 8 7.58 8.74 12.7 7.71
4 9 9 9 8 8.81 8.77 7.11 8.84
5 11 11 11 8 8.33 9.26 7.81 8.47
6 14 14 14 8 9.96 8.1 8.84 7.04
7 6 6 6 8 7.24 6.13 6.08 5.25
8 4 4 4 19 4.26 3.1 5.39 12.5
9 12 12 12 8 10.8 9.13 8.15 5.56
10 7 7 7 8 4.82 7.26 6.42 7.91
11 5 5 5 8 5.68 4.74 5.73 6.89
x1 x2 x3 x4 y1 y2 y3 y4
x1 1.00 1.00 1.00 -0.50 0.82 0.82 0.82 -0.31
x2 1.00 1.00 1.00 -0.50 0.82 0.82 0.82 -0.31
x3 1.00 1.00 1.00 -0.50 0.82 0.82 0.82 -0.31
x4 -0.50 -0.50 -0.50 1.00 -0.53 -0.72 -0.34 0.82
y1 0.82 0.82 0.82 -0.53 1.00 0.75 0.47 -0.49
y2 0.82 0.82 0.82 -0.72 0.75 1.00 0.59 -0.48
y3 0.82 0.82 0.82 -0.34 0.47 0.59 1.00 -0.16
y4 -0.31 -0.31 -0.31 0.82 -0.49 -0.48 -0.16 1.00
anscombe_new data properties x1 x2 x3 x4 y1 y2 y3 y4
x1 1.00 1.00 1.00 -0.51 0.82 0.82 0.82 -0.32
x2 1.00 1.00 1.00 -0.52 0.81 0.81 0.82 -0.31
x3 1.00 1.00 1.00 -0.50 0.82 0.81 0.81 -0.31
x4 -0.51 -0.52 -0.50 1.00 -0.53 -0.73 -0.35 0.81
y1 0.82 0.81 0.82 -0.53 1.00 0.75 0.47 -0.49
y2 0.82 0.81 0.81 -0.73 0.75 1.00 0.59 -0.48
y3 0.82 0.82 0.81 -0.35 0.47 0.59 1.00 -0.16
y4 -0.32 -0.31 -0.31 0.81 -0.49 -0.48 -0.16 1.00
Gerko Vink @ Anton de Kom Universiteit, Paramaribo